ESP32 Multimodal Health Monitor with Pulse Oximetry, ECG, and Barometric Sensing

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Welcome to your new project. Imagine what you can build here.

This is the description of my new project in flux

A 3-channel EMG allows to control individual fingers with very little delay. Originally created by Dmitry Dziuba.

A 3-channel EMG allows to control individual fingers with very little delay. Originally created by Dmitry Dziuba.

A 3-channel EMG allows to control individual fingers with very little delay. Originally created by Dmitry Dziuba.

A simple fixed linear voltage regulator board that can provide 3.3V up to 1A output and could operate down to 1V input-to-output differential. #firstpcbFlux

A 3-channel EMG allows to control individual fingers with very little delay. Originally created by Dmitry Dziuba.

A 3-channel EMG allows to control individual fingers with very little delay. Originally created by Dmitry Dziuba.

ecg electrical cardio graphy

Purpose: Design a schematic for a wearable ECG signal monitoring device that is compact and sends readings via Bluetooth. Components: Arduino Nicla Sense ME: To serve as the central processing unit of the device. MCP3911: To capture the ECG signal. AD8606: To amplify the ECG signal. Battery: To power the device with a consideration for the battery to be rechargeable via a Type-C port. Specifications: The device must be small and wearable, like the one shown in the image provided. It should have Bluetooth capabilities for transmitting data. Include a charging circuit for the battery using a Type-C connection. Enhancements: Suggest potential improvements in design for efficiency, size reduction, or additional features. Constraints: The size and shape should be as unobtrusive as possible for ease of wear. Note: Please advise on the inclusion of any additional components that may be necessary for the operation, stabilization, or improvement of signal quality.

Purpose: Design a schematic for a wearable ECG signal monitoring device that is compact and sends readings via Bluetooth. Components: Arduino Nicla Sense ME: To serve as the central processing unit of the device. MCP3911: To capture the ECG signal. AD8606: To amplify the ECG signal. Battery: To power the device with a consideration for the battery to be rechargeable via a Type-C port. Specifications: The device must be small and wearable, like the one shown in the image provided. It should have Bluetooth capabilities for transmitting data. Include a charging circuit for the battery using a Type-C connection. Enhancements: Suggest potential improvements in design for efficiency, size reduction, or additional features. Constraints: The size and shape should be as unobtrusive as possible for ease of wear. Note: Please advise on the inclusion of any additional components that may be necessary for the operation, stabilization, or improvement of signal quality.

Driver drowsiness detection ECG front end based on the AD8232 with ECG electrode interface, analog signal conditioning, a dedicated 50 Hz twin-T notch filter for power-line interference rejection, regulated low-noise analog power, and a downstream conditioned ECG output prepared for processing and fatigue/drowsiness analysis.

Wearable health device prototype schematic with ECG sensing via AD8232, motion sensing via BNO085 or BMI270 IMU breakout, on-board processing using TI TM4C123G LaunchPad or MSPM0G3507 LaunchPad, optional ESP8266 Wi-Fi, LiPo battery charging with MCP73831, regulated 3.3 V power from TPS63031 buck-boost or AP2112 LDO prototype option, and user interfaces including electrode connector, JST battery connector, programming header, and optional on/off switch.

Welcome to your new project. Imagine what you can build here.

The Sinopower APM2300CA is a high-performance N-Channel Enhancement Mode MOSFET designed for efficient power management applications in notebook computers, portable equipment, and battery-powered systems. This MOSFET offers a drain-source voltage (VDSS) of 20V and a continuous drain current (ID) of 6A, providing reliable and rugged performance. Featuring a low R_DS(on) of 25mΩ at V_GS=10V, 32mΩ at V_GS=4.5V, 40mΩ at V_GS=2.5V, and 65mΩ at V_GS=1.8V, the APM2300CA ensures minimal power loss and high efficiency. The component is housed in a compact SOT-23 package, making it suitable for space-constrained applications. With a maximum junction temperature of 150°C and compliance with RoHS and halogen-free standards, the APM2300CA is an environmentally friendly choice that does not sacrifice performance. Other notable features include low gate charge and fast switching capabilities, making it ideal for rapid and efficient power conversion tasks.

Bioimpedance + ECG/PTT node (USB-C protected 5V in, Howland pump, INA128 front end, STM32WB55 BLE, I2C sensors, SWD)